2025
De Livera, A. M., Prendergast, L., & Kumaranathunga, U. (2024). A novel density-based approach for estimating unknown means, distribution visualisations and meta-analyses of quantiles. arXiv preprint arXiv:2411.10971.
2024
Prendergast, L. A., Dedduwakumara, S., & Staudte, R. G. (2024). rquest: An R package for hypothesis tests and confidence intervals for quantiles and summary measures based on quantiles. arXiv preprint arXiv:2410.11093.
2025
Dharmaratne A.D.V.T.T.; De Livera A.; Georgiou S.; Stylianou S. (2025). Variable selection methods for descriptive modeling, PLOS ONE, 20.0(6 June). https://doi.org/10.1371/journal.pone.0321601
2024
Masioti M.; S. N. Li-Wai-Suen C.; A. Prendergast L.; Shaker A. (2024). A note on switching eigenvalues under small perturbations, Communications in Statistics - Theory and Methods, 53(20.0), 7311-7325. https://doi.org/10.1080/03610926.2023.2263114
Liyanage J.C.; Prendergast L.; Staudte R.; De Livera A.M. (2024). MetaHD: a multivariate meta-analysis model for metabolomics data, Bioinformatics, 40.0(7). https://doi.org/10.1093/bioinformatics/btae470
Arachchige C.N.P.G.; Prendergast L.A. (2024). Confidence intervals for median absolute deviations, Communications in Statistics: Simulation and Computation. https://doi.org/10.1080/03610918.2024.2376198
2023
Masioti M.; Davies J.; Shaker A.; Prendergast L.A. (2023). Slice weighted average regression, Advances in Data Analysis and Classification. https://doi.org/10.1007/s11634-023-00551-9
2022
Prendergast L.A.; Smith J.A. (2022). Influence functions for linear discriminant analysis: Sensitivity analysis and efficient influence diagnostics, Journal of Multivariate Analysis, 190. https://doi.org/10.1016/j.jmva.2022.104993
De Livera A.M.; Shaw J.E.; Cohen N.; Reutens A.; Salim A. (2022). An Interactive Web Application for the Statistical Analysis of Continuous Glucose Monitoring Data in Epidemiological Studies, Journal of Diabetes Science and Technology, 16.0(2), 397-400. https://doi.org/10.1177/1932296820985570
Cairns M.; Prendergast L.A. (2022) On ratio measures of heterogeneity for meta-analyses, Research Synthesis Methods,13(1), 28-47. https://dx.doi.org/10.1002/jrsm.1517
Arachchige C.N.P.G.; Prendergast L.A.; Staudte R.G. (2022). Robust analogs to the coefficient of variation, Journal of Applied Statistics, 49(2.0), 268-290. https://doi.org/10.1080/02664763.2020.1808599
Cairns M.; Cumming G.; Calin-Jageman R.; Prendergast L.A. (2022). The diamond ratio: A visual indicator of the extent of heterogeneity in meta-analysis, British Journal of Mathematical and Statistical Psychology, 75(2.0), 201-219. https://doi.org/10.1111/bmsp.12258
2021
Dedduwakumara D.S.; Prendergast L.A.; Staudte R.G. (2021). Some confidence intervals and insights for the proportion below the relative poverty line, SN Business and Economics, 1(10.0). https://doi.org/10.1007/s43546-021-00151-9
Dedduwakumara D.S.; Prendergast L.A.; Staudte R.G. (2021). An efficient estimator of the parameters of the generalized lambda distribution, Journal of Statistical Computation and Simulation, 91(1.0), 197-215. https://doi.org/10.1080/00949655.2020.1808979
De Silva A.P.; De Livera A.M.; Lee K.J.; Moreno-Betancur M.; Simpson J.A. (2021). Multiple imputation methods for handling missing values in longitudinal studies with sampling weights: Comparison of methods implemented in Stata, Biometrical Journal, 63.0(2), 354-371. https://doi.org/10.1002/bimj.201900360
Arachchige C.N.P.G.; Cairns M.; Prendergast L.A. (2021). Interval estimators for ratios of independent quantiles and interquantile ranges, Communications in Statistics: Simulation and Computation, 50(12.0), 3914-3930. https://doi.org/10.1080/03610918.2019.1634814
2020
Dedduwakumara D.S.; Prendergast L.A. (2020). Confidence intervals for quantiles from histograms and other grouped data, Communications in Statistics: Simulation and Computation, 49(6.0), 1546-1559. https://doi.org/10.1080/03610918.2018.1499935
Kuveke R.E.H. (2020). The performance of some statistical procedures used in case-control studies and methylomics, Bulletin of the Australian Mathematical Society, 101(2), 342-344. https://doi.org/10.1017/S0004972719001369
Staudte R.G. (2020). Evidence for goodness of fit in Karl Pearson chi-squared statistics, Statistics, 54.0(6), 1287-1310. https://doi.org/10.1080/02331888.2020.1862115
2019 and earlier
Kabaila P.; Kuveke R.E.H. (2019). The large sample coverage probability of confidence intervals in general regression models after a preliminary hypothesis test, Scandinavian Journal of Statistics, 46(2), 432-445. https://doi.org/10.1111/sjos.12358
De Silva A.P.; Moreno-Betancur M.; De Livera A.M.; Lee K.J.; Simpson J.A. (2019). Multiple imputation methods for handling missing values in a longitudinal categorical variable with restrictions on transitions over time: A simulation study 01 Mathematical Sciences 0104 Statistics, BMC Medical Research Methodology, 19.0(1). https://doi.org/10.1186/s12874-018-0653-0
Prendergast L.A.; Staudte R.G. (2019). Decomposing the quantile ratio index with applications to australian income and wealth data, European Journal of Pure and Applied Mathematics, 12(3.0), 689-708. https://doi.org/10.29020/nybg.ejpam.v12i3.3436
Dedduwakumara D.S.; Prendergast L.A. (2019). Interval Estimators for Inequality Measures Using Grouped Data, Communications in Computer and Information Science, 1150 CCIS, 238-252. https://doi.org/10.1007/978-981-15-1960-4_17
Prendergast L.A.; Staudte R.G. (2018). A Simple and Effective Inequality Measure, American Statistician, 72(4.0), 328-343. https://doi.org/10.1080/00031305.2017.1366366
De Livera A.M.; Olshansky G.; Simpson J.A.; Creek D.J. (2018). NormalizeMets: assessing, selecting and implementing statistical methods for normalizing metabolomics data, Metabolomics, 14.0(5). https://doi.org/10.1007/s11306-018-1347-7
Staudte R.G. (2017). Inference for quantile measures of kurtosis, peakedness, and tail weight, Communications in Statistics - Theory and Methods, 46.0(7), 3148-3163. https://doi.org/10.1080/03610926.2015.1056366
De Silva A.P.; Moreno-Betancur M.; De Livera A.M.; Lee K.J.; Simpson J.A. (2017). A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: A simulation study, BMC Medical Research Methodology, 17.0(1). https://doi.org/10.1186/s12874-017-0372-y
Staudte R.G. (2017). The shapes of things to come: probability density quantiles, Statistics, 51.0(4), 782-800. https://doi.org/10.1080/02331888.2016.1277225
Prendergast L.A.; Staudte R.G. (2017). When large n is not enough – Distribution-free interval estimators for ratios of quantiles, Journal of Economic Inequality, 15(3.0), 277-293. https://doi.org/10.1007/s10888-017-9347-9
Dona M.S.I.; Prendergast L.A.; Mathivanan S.; Keerthikumar S.; Salim A. (2017). Powerful differential expression analysis incorporating network topology for next-generation sequencing data, Bioinformatics, 33(10.0), 1505-1513. https://doi.org/10.1093/bioinformatics/btw833
Prendergast L.A.; Healey A.F. (2016). Improving estimated sufficient summary plots in dimension reduction using minimization criteria based on initial estimates, Computational Statistics, 31(3.0), 899-922. https://doi.org/10.1007/s00180-015-0614-6
Morgenthaler S.; Staudte R. (2016). Indicators of evidence for bioequivalence, Entropy, 18.0(8). https://doi.org/10.3390/e18080291
Prendergast L.A.; Staudte R.G. (2016). Quantile versions of the Lorenz curve, Electronic Journal of Statistics, 10(2.0), 1896-1926. https://doi.org/10.1214/16-EJS1154
Prendergast L.A.; Staudte R.G. (2016). Meta-analysis of ratios of sample variances, Statistics in Medicine, 35(11.0), 1780-1799. https://doi.org/10.1002/sim.6838
Prendergast L.A.; Staudte R.G. (2016). Exploiting the quantile optimality ratio in finding confidence intervals for quantiles, Stat, 5(1.0), 70-81. https://doi.org/10.1002/sta4.105
Prendergast L.A.; Garnham A.L. (2016). Response and predictor folding to counter symmetric dependency in dimension reduction, Australian and New Zealand Journal of Statistics, 58(4.0), 515-532. https://doi.org/10.1111/anzs.12170
De Livera A.M.; Sysi-Aho M.; Jacob L.; Gagnon-Bartsch J.A.; Castillo S.; Simpson J.A.; Speed T.P. (2015). Statistical Methods for Handling Unwanted Variation in Metabolomics Data, Analytical Chemistry, 87.0(7), 3606-3615. https://doi.org/10.1021/ac502439y
Zaloumis S.G.; Fowkes F.J.I.; De Livera A.; Simpson J.A. (2015). Presenting parasitological data: The good, the bad and the error bar, Parasitology, 142.0(11), 1351-1363. https://doi.org/10.1017/S0031182015000748
Staudte R.G. (2014). Inference for quantile measures of skewness, Test, 23.0(4), 751-768. https://doi.org/10.1007/s11749-014-0391-5
De Livera A.M.; Zaloumis S.; Simpson J.A. (2014). Models for the analysis of repeated continuous outcome measures in clinical trials, Respirology, 19.0(2), 155-161. https://doi.org/10.1111/resp.12217
Simpson J.A.; Zaloumis S.; Delivera A.M.; Price R.N.; McCaw J.M. (2014). Making the most of clinical data: Reviewing the role of pharmacokinetic-pharmacodynamic models of anti-malarial drugs, AAPS Journal, 16.0(5), 962-974. https://doi.org/10.1208/s12248-014-9647-y
Kulinskaya E.; Morgenthaler S.; Staudte R.G. (2014). Combining statistical evidence, International Statistical Review, 82.0(2), 214-242. https://doi.org/10.1111/insr.12037
Prendergast L.A.; Staudte R.G. (2014). Better than you think: Interval estimators of the difference of binomial proportions, Journal of Statistical Planning and Inference, 148, 38-48. https://doi.org/10.1016/j.jspi.2013.11.012
Staudte R.G. (2014). Inference for the standardized median, Springer Proceedings in Mathematics and Statistics, 68.0, 353-363. https://doi.org/10.1007/978-3-319-02651-0_22
Garnham A.L.; Prendergast L.A. (2013). A note on least squares sensitivity in single-index model estimation and the benefits of response transformations, Electronic Journal of Statistics, 7(1.0), 1983-2004. https://doi.org/10.1214/13-EJS831
De Livera A.M.; Olshansky M.; Speed T.P. (2013). Statistical analysis of metabolomics data, Methods in Molecular Biology, 1055.0, 291-307. https://doi.org/10.1007/978-1-62703-577-4_20
Malloy M.J.; Prendergast L.A.; Staudte R.G. (2013). Transforming the Model T: Random effects meta-analysis with stable weights, Statistics in Medicine, 32(11.0), 1842-1864. https://doi.org/10.1002/sim.5666
Morgenthaler S.; Staudte R.G. (2013). Evidence for alternative hypotheses, Robustness and Complex Data Structures: Festschrift in Honour of Ursula Gather, 315-329. https://doi.org/10.1007/978-3-642-35494-6_19
Prendergast L.A.; Sheather S.J. (2013). On Sensitivity of Inverse Response Plot Estimation and the Benefits of a Robust Estimation Approach, Scandinavian Journal of Statistics, 40(2.0), 219-237. https://doi.org/10.1111/j.1467-9469.2012.00807.x
Staudte R.G. (2013). Distribution-free confidence intervals for the standardized median, Stat, 2.0(1), 184-196. https://doi.org/10.1002/sta4.29
De Livera A.M.; Dias D.A.; De Souza D.; Rupasinghe T.; Pyke J.; Tull D.; Roessner U.; McConville M.; Speed T.P. (2012). Normalizing and integrating metabolomics data, Analytical Chemistry, 84.0(24), 10768-10776. https://doi.org/10.1021/ac302748b
Morgenthaler S.; Staudte R.G. (2012). Advantages of Variance Stabilization, Scandinavian Journal of Statistics, 39.0(4), 714-728. https://doi.org/10.1111/j.1467-9469.2011.00768.x
Shaker A.J.; Prendergast L.A. (2011). Iterative application of dimension reduction methods, Electronic Journal of Statistics, 5, 1471-1494. https://doi.org/10.1214/11-EJS650
de Livera A.M.; Hyndman R.J.; Snyder R.D. (2011). Forecasting time series with complex seasonal patterns using exponential smoothing, Journal of the American Statistical Association, 106.0(496), 1513-1527. https://doi.org/10.1198/jasa.2011.tm09771
Staudte R.G.; Sheather S.J. (2011). Robust estimation and testing, Robust Estimation and Testing, 1-359. https://doi.org/10.1002/9781118165485
Prendergast L.A.; Suen C.L.W. (2011). A new and practical influence measure for subsets of covariance matrix sample principal components with applications to high dimensional datasets, Computational Statistics and Data Analysis, 55(1.0), 752-764. https://doi.org/10.1016/j.csda.2010.06.022
Malloy M.J.; Prendergast L.A.; Staudte R.G. (2011). Comparison of methods for fixed effect meta-regression of standardized differences of means, Electronic Journal of Statistics, 5, 83-101. https://doi.org/10.1214/11-EJS598
De Livera A.M. (2010). Exponentially weighted methods for multiple seasonal time series, International Journal of Forecasting, 26.0(4), 655-657. https://doi.org/10.1016/j.ijforecast.2010.05.010
Kulinskaya E.; Morgenthaler S.; Staudte R.G. (2010). Variance stabilizing the difference of two Binomial proportions, American Statistician, 64.0(4), 350-356. https://doi.org/10.1198/tast.2010.09080
Kulinskaya E.; Morgenthaler S.; Staudte R.G. (2010). Combining the evidence using stable weights, Research Synthesis Methods, 1.0(3-4), 284-296. https://doi.org/10.1002/jrsm.20
Prendergast L.A.; Smith J.A. (2010). Influence Functions for Dimension Reduction Methods: An Example Influence Study of Principal Hessian Direction Analysis, Scandinavian Journal of Statistics, 37(4.0), 588-611. https://doi.org/10.1111/j.1467-9469.2009.00666.x
Kulinskaya E.; Morgenthaler S.; Staudte R.G. (2008). Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence, Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence, 1-269. https://doi.org/10.1002/9780470985533
Prendergast L.A. (2008). Trimming influential observations for improved single-index model estimated sufficient summary plots, Computational Statistics and Data Analysis, 52(12.0), 5319-5327. https://doi.org/10.1016/j.csda.2008.05.014
Prendergast L.A. (2008). A note on sensitivity of principal component subspaces and the efficient detection of influential observations in high dimensions, Electronic Journal of Statistics, 2, 454-467. https://doi.org/10.1214/08-EJS201
Kulinskaya E.; Staudte R.G. (2007). Confidence intervals for the standardized effect arising in the comparison of two normal populations, Statistics in Medicine, 26.0(14), 2853-2871. https://doi.org/10.1002/sim.2751
Prendergast L.A.; Smith J.A. (2007). Sensitivity of principal hessian direction analysis, Electronic Journal of Statistics, 1, 253-267. https://doi.org/10.1214/07-EJS064
Prendergast L.A. (2007). Implications of influence function analysis forsliced inverse regression and sliced average variance estimation, Biometrika, 94(3.0), 585-601. https://doi.org/10.1093/biomet/asm055
Prendergast L.A. (2006). Detecting influential observations in sliced inverse regression analysis, Australian and New Zealand Journal of Statistics, 48(3.0), 285-304. https://doi.org/10.1111/j.1467-842X.2006.00441.x
Kulinskaya E.; Staudte R.G. (2006). Interval estimates of weighted effect sizes in the one-way heteroscedastic ANOVA, British Journal of Mathematical and Statistical Psychology, 59.0(1), 97-111. https://doi.org/10.1348/000711005X68174
Prendergast L.A. (2005). Influence functions for sliced inverse regression, Scandinavian Journal of Statistics, 32(3.0), 385-404. https://doi.org/10.1111/j.1467-9469.2005.00447.x
Morgenthaler S.; Staudte R.G. (2005). Conditionally optimal weights of evidence, Acta Mathematicae Applicatae Sinica, 21.0(2), 247-256. https://doi.org/10.1007/s10255-005-0233-z
Kulinskaya E.; Staudte R.G.; Gao H. (2003). Power Approximations in Testing for Unequal Means in a One-Way ANOVA Weighted for Unequal Variances, Communications in Statistics - Theory and Methods, 32.0(12), 2353-2371. https://doi.org/10.1081/STA-120025383
Morgenthaler S.; Staudte R. (2002). Optimal weights of evidence with bounded influence, Metrika, 55.0(1-2), 91-97. https://doi.org/10.1007/s001840200189
Dollinger M.B.; Kulinskaya E.; Staudte R.G. (1999). Guarded weights of evidence and acceptability profiles based on signs: II. Asymptotic results, Australian and New Zealand Journal of Statistics, 41.0(4), 451-461. https://doi.org/10.1111/1467-842X.00098
Dollinger M.B.; Kulinskaya E.; Staudte R.G. (1999). Guarded weights of evidence and acceptability profiles based on signs: I. Permutation arguments, Australian and New Zealand Journal of Statistics, 41.0(1), 91-110. https://doi.org/10.1111/1467-842X.00064
Kulinskaya E.; Staudte R.G. (1998). Tests and optimal guarded weights of evidence, Journal of Statistical Planning and Inference, 71.0(1-2), 1-18. https://doi.org/10.1016/s0378-3758(98)00006-8
Blyth C.R.; Staudte R.G. (1997). Hypothesis Estimates and Acceptability Profiles for 2 × 2 Contingency Tables, Journal of the American Statistical Association, 92.0(438), 694-699. https://doi.org/10.1080/01621459.1997.10474021
Staudte R.G.; Huggins R.M.; Zhang J.; Axelrod D.E.; Kimmel M. (1997). Estimating clonal heterogeneity and interexperiment variability with the bifurcating autoregressive model for cell lineage data, Mathematical Biosciences, 143.0(2), 103-121. https://doi.org/10.1016/S0025-5564(97)00006-0
Staudte R.G.; Zhang J. (1997). Weighing the Evidence for Hypotheses with Small Samples of Right-censored Exponential Data, Lifetime Data Analysis, 3.0(4), 383-398. https://doi.org/10.1023/A:1009658213856
Staudte R.G.; Zhang J.; Huggins R.M.; Cowan R. (1996). A reexamination of the cell-lineage data of E. O. Powell, Biometrics, 52.0(4), 1214-1222. https://doi.org/10.2307/2532837
Blyth C.R.; Staudte R.G. (1995). Estimating statistical hypotheses, Statistics and Probability Letters, 23.0(1), 45-52. https://doi.org/10.1016/0167-7152(94)00093-N
Sommer S.; Staudte R.G. (1995). ROBUST VARIABLE SELECTION IN REGRESSION IN THE PRESENCE OF OUTLIERS AND LEVERAGE POINTS, Australian Journal of Statistics, 37.0(3), 323-336. https://doi.org/10.1111/j.1467-842X.1995.tb00663.x
Ronchetti E.; Staudte R.G. (1994). A robust version of mallows’s CP, Journal of the American Statistical Association, 89.0(426), 550-559. https://doi.org/10.1080/01621459.1994.10476780
Huggins R.M.; Staudte R.G. (1994). Variance components models for dependent cell populations, Journal of the American Statistical Association, 89.0(425), 19-29. https://doi.org/10.1080/01621459.1994.10476442
Staudte R.G. (1992). A bifurcating autoregression model for cell lineages with variable generation means, Journal of Theoretical Biology, 156.0(2), 183-195. https://doi.org/10.1016/S0022-5193(05)80672-1
Dollinger M.B.; Staudte R.G. (1991). Influence functions of iteratively reweighted least squares estimators, Journal of the American Statistical Association, 86.0(415), 709-716. https://doi.org/10.1080/01621459.1991.10475099
Dollinger M.B.; Staudte R.G. (1990). THE CONSTRUCTION OF EQUILEVERAGE DESIGNS FOR MULTIPLE LINEAR REGRESSION, Australian Journal of Statistics, 32.0(1), 99-118. https://doi.org/10.1111/j.1467-842X.1990.tb01002.x
Cowan R.; Staudte R. (1986). The bifurcating autoregression model in cell lineage studies, Biometrics, 42.0(4), 769-783. https://doi.org/10.2307/2530692
Basawa I.V.; Huggins R.M.; Staudte R.G. (1985). Robust tests for time series with an application to first-order autoregressive processes, Biometrika, 72.0(3), 559-571. https://doi.org/10.1093/biomet/72.3.559
Staudte R.G.; Guiguet M.; d'Hooghe M.C. (1984). Additive models for dependent cell populations, Journal of Theoretical Biology, 109.0(1), 127-146. https://doi.org/10.1016/S0022-5193(84)80115-0
Staudte R.G.; Woodward J.R.; Fincher G.B.; Stone B.A. (1983). Water-soluble (1→3), (1→4)-β-d-glucans from barley (Hordeum vulgare) endosperm. III. Distribution of cellotriosyl and cellotetraosyl residues, Carbohydrate Polymers, 3.0(4), 299-312. https://doi.org/10.1016/0144-8617(83)90027-9
Staudte R.G. (1982). Planning blocked mitosis experiments for efficient estimation of population-doubling time and cell-cycle time., Biometrics, 38.0(3), 777-785. https://doi.org/10.2307/2530057
Koul H.L.; Staudte Jr. R.G. (1972). Asymptotic normality of signed rank statistics, Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete, 22.0(4), 293-300. https://doi.org/10.1007/BF00532489
2025
Shaker A.J.; Brignell C.; Pugh M. (2025). The effect of incentivising pre-class reading on engagement and student performance, International Journal of Mathematical Education in Science and Technology, 56.0(2.0), 258-274. https://doi.org/10.1080/0020739X.2023.2214562
Riach A.C.; Shaker A.J.; Marshall E.; Binkowski K.P.; Kay W.P. (2025). A comparison of strategies used by lecturers to improve students' perceived feelings toward statistics—A study that is Stat-tastic!, Teaching Statistics. https://doi.org/10.1111/test.12408
2024
Marshall E.; Riach A.; Shaker A.; Rowlett P. (2024). Statistics support and anxiety explored, Teaching Mathematics and its Applications, 43.0(2.0), 81-106. https://doi.org/10.1093/teamat/hrad010
Earlier
Simpson, J.A., Forbes, A., Wolfe, R., Gurrin, L.C., Lee, K.J., Schuster, T., Vukcevic, D., Kasza, J., Moreno-Betancur, M., Zaloumis, S. and DeLivera, A.... & Carlin, J. B. , 2016. Upskilling the epidemiological workforce with advanced biostatistics training: The ViCBiostat Summer School. Australasian Epidemiological Association Journal, 23(1), pp.27-29. v
2021
Davey B.A.; Kowalski T.; Taylor C.J. (2021). Splittings in varieties of logic, International Journal of Algebra and Computation, 31.0(4), 727-774. https://doi.org/10.1142/S021819672150034X
2020 and earlier
Nibali A.; He Z.; Morgan S.; Prendergast L. (2019). 3D human pose estimation with 2D marginal heatmaps, Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019, 1477-1485. https://doi.org/10.1109/WACV.2019.00162
Taylor C.J. (2016). Algebras of incidence structures: representations of regular double p-algebras, Algebra Universalis, 76.0(4), 479-491. https://doi.org/10.1007/s00012-016-0413-0
Taylor C.J. (2016). Discriminator varieties of double-Heyting algebras, Reports on Mathematical Logic, 3-14. https://doi.org/10.4467/20842589RM.16.001.5278
Staudte R.G., Jr.; Tata M.N. (1970). Complex roots of real characteristic functions, Proceedings of the American Mathematical Society, 25.0(2), 238-246. https://doi.org/10.1090/S0002-9939-1970-0264732-1
2025
Shields, N., Bhowon, Y., Willis, C., Taylor, N.F., Mudiyanselage, S.B., Watts, J.J., Imms, C. and Prendergast, L.A. (2025). A community-based physical activity intervention (FitSkills) can improve participation attendance of young people with disability: a stepped wedge cluster randomised trial. British Journal of Sports Medicine. https://doi.org/10.1136/bjsports-2025-109877
Bandara T.N.; Turrell G.; De Livera A.; Zapata-Diomedi B.; Gunn L. (2025). Exploring sex differences in the longitudinal association between streetlighting and transport walking, Health and Place, 93. https://doi.org/10.1016/j.healthplace.2025.103442
Law L.; Heerey J.J.; Devlin B.L.; Brukner P.; De Livera A.M.; Kemp J.; Attanayake A.; Skou S.T.; Bricca A.; Culvenor A.G. (2025). Effect of anti-inflammatory diets on health-related quality of life in adults with chronic disease: a systematic review and meta-analysis, BMJ Nutrition, Prevention and Health, 8(1), 314-326. https://doi.org/10.1136/bmjnph-2025-001257
West T.J.; Bruder A.M.; Crossley K.M.; Girdwood M.A.; To L.K.; Couch J.L.; Scholes M.J.; Evans S.C.S.; Haberfield M.J.; Barton C.J.; Roos E.M.; De Livera A.; Culvenor A.G. (2025). Outcomes of anterior cruciate ligament reconstruction surgery from private and public healthcare services in Australia, JSAMS Plus, 5 https://doi.org/10.1016/j.jsampl.2025.100088
Law L.; Heerey J.J.; Devlin B.L.; Brukner P.; De Livera A.M.; Attanayake A.; Cooper I.; Donato A.; Hebert J.R.; Price S.; White N.P.; Culvenor A.G. (2025). The eFEct of an Anti-Inflammatory Diet for Knee oSTeoarthritis (FEAST) Trial: Baseline Characteristics and Relationships With Dietary Inflammatory Index, Journal of the American Nutrition Association, 44(6), 556-565. https://doi.org/10.1080/27697061.2025.2461219
Matt A.-R.; Kemp J.L.; Mosler A.B.; Salmon L.; Gomes D.A.; De Livera A.; Hateley E.; Semciw A.L. (2025). Do preoperative interventions affect patient satisfaction or expectation fulfilment following total hip arthroplasty? A systematic review, JSAMS Plus, 5 https://doi.org/10.1016/j.jsampl.2025.100089
Noeske K.E.; Snowdon D.A.; Ekegren C.L.; Harding K.E.; Prendergast L.A.; Peiris C.L.; Shields N.; O’Halloran P.D.; Porter J.; Watts J.J.; Taylor N.F. (2025). Walking self-confidence and lower levels of anxiety are associated with meeting recommended levels of physical activity after hip fracture: a cross-sectional study, Disability and Rehabilitation, 47(1), 135-141. https://doi.org/10.1080/09638288.2024.2338195
Bandara T.N.; Higgs C.; Turrell G.; De Livera A.; Gunn L.; Zapata-Diomedi B. (2025). Longitudinal effects of the built environment on transportation and recreational walking and differences by age and sex: A systematic review, Social Science and Medicine, 368. https://doi.org/10.1016/j.socscimed.2025.117811
Wang T.; Arnold M.; Huynh K.; Weinisch P.; Giles C.; Mellett N.A.; Duong T.; Marella B.; Nho K.; De Livera A.; Han X.; Blach C.; Yu C.; McNeil J.J.; Lacaze P.; Saykin A.J.; Kastenmüller G.; Meikle P.J.; Kaddurah-Daouk R. (2025). Trajectory of plasma lipidome associated with the risk of late-onset Alzheimer's disease: a longitudinal cohort study, eBioMedicine, 118. https://doi.org/10.1016/j.ebiom.2025.105826
2024
Law L.; Heerey J.L.; Devlin B.L.; Brukner P.; Kemp J.L.; Attanayake A.; Hulett M.D.; De Livera A.; Mosler A.B.; Morris H.G.; White N.P.; Culvenor A.G. (2024). Effectiveness of an anti-inflammatory diet versus low-fat diet for knee osteoarthritis: the FEAST randomised controlled trial protocol, BMJ Open, 14(4). https://doi.org/10.1136/bmjopen-2023-079374
Shields N.; Bhowon Y.; Prendergast L.; Cleary S.; Taylor N.F. (2024). Fostering positive attitudes towards interacting with young people with disability among health students: a stepped-wedge trial, Disability and Rehabilitation, 46(6), 1212-1219. https://doi.org/10.1080/09638288.2023.2193429
Gallagher S.; Johnstone A.; De Livera A.; Marsh D.J.; Walsh S. (2024). A survey of women diagnosed with breast cancer experiencing oncology treatment–induced hot flushes: identification of specific characteristics as predictors of hot flush occurrence, frequency, and severity, Journal of Cancer Survivorship. https://doi.org/10.1007/s11764-024-01647-7
Bhowon Y.; Prendergast L.A.; Taylor N.F.; Shields N. (2024). Using Geospatial Analysis to Determine the Proximity of Community Gyms for a Population-Based Cohort of Young People with Cerebral Palsy, Physiotherapy Canada, 76(4), 415-422. https://doi.org/10.3138/ptc-2022-0064
Rimayanti M.U.; Taylor N.F.; Shields N.; Prendergast L.A.; O'Halloran P.D. (2024). Health Professionals can Sustain Proficiency in Motivational Interviewing With a Moderate Amount of Training: An Intervention Fidelity Study, Journal of Continuing Education in the Health Professions, 44(2), 105-111. https://doi.org/10.1097/CEH.0000000000000522
Hart H.F.; Crossley K.M.; Patterson B.E.; Guermazi A.; Birmingham T.B.; Koskoletos C.; Michaud A.; De Livera A.; Culvenor A.G. (2024). Adiposity and cartilage lesions following ACL reconstruction, Osteoarthritis and Cartilage, 32(7), 931-936. https://doi.org/10.1016/j.joca.2024.04.004
2023
Giordano A.; Testa S.; Bassi M.; Cilia S.; Bertolotto A.; Quartuccio M.E.; Pietrolongo E.; Falautano M.; Grobberio M.; Niccolai C.; Allegri B.; Viterbo R.G.; Confalonieri P.; Giovannetti A.M.; Cocco E.; Grasso M.G.; Lugaresi A.; Ferriani E.; Nocentini U.; Zaffaroni M.; De Livera A.; Jelinek G.; Solari A.; Rosato R. (2023). Applying multidimensional computerized adaptive testing to the MSQOL-54: a simulation study, Health and Quality of Life Outcomes, 21.0(1). https://doi.org/10.1186/s12955-023-02152-8
Kirkland H.; Campbell J.; Reece J.; Nag N.; Probst Y.; Neate S.; De Livera A.; Jelinek G.; Simpson-Yap S. (2023). Higher diet quality is associated with short and long-term benefits on SF-6D health state utilities: a 5-year cohort study in an international sample of people with multiple sclerosis, Quality of Life Research, 32.0(7), 1883-1896. https://doi.org/10.1007/s11136-023-03361-w
Sarapis K.; George E.S.; Marx W.; Mayr H.L.; Willcox J.; Powell K.L.; Folasire O.S.; Lohning A.E.; Prendergast L.A.; Itsiopoulos C.; Thomas C.J.; Moschonis G. (2023). Extra virgin olive oil improves HDL lipid fraction but not HDL-mediated cholesterol efflux capacity: A double-blind, randomised, controlled, cross-over study (OLIVAUS), British Journal of Nutrition, 130(4.0), 641-650. https://doi.org/10.1017/S0007114522003634
West T.J.; Bruder A.M.; Crossley K.M.; Girdwood M.A.; Scholes M.J.; To L.K.; Couch J.L.; Evans S.C.S.; Haberfield M.J.; Barton C.J.; Roos E.M.; De Livera A.; Culvenor A.G. (2023). Does the one-leg rise test reflect quadriceps strength in individuals following anterior cruciate ligament reconstruction?, Physical Therapy in Sport, 63.0, 104-111. https://doi.org/10.1016/j.ptsp.2023.07.008
Seabra M.R.; Prendergast L.; de Andrade Antunes G.S.; Tolton L. (2023). Cognitive colonialism: Nationality bias in Brazilian academic philosophy, Metaphilosophy, 54(1.0), 106-118. https://doi.org/10.1111/meta.12608
Bandara T.N.; Higgs C.; Zapata-Diomedi B.; Gunn L.; Turrell G.; De Livera A. (2023). The longitudinal effects of the built environment on transportation and recreational walking, and differences by age and sex: systematic review protocol, Archives of Public Health, 81.0(1). https://doi.org/10.1186/s13690-023-01194-0
Wright A.; De Livera A.; Lee K.H.; Higgs C.; Nicholson M.; Gibbs L.; Jorm A. (2023). Publisher Correction: A repeated cross-sectional and longitudinal study of mental health and wellbeing during COVID-19 lockdowns in Victoria, Australia (BMC Public Health, (2022), 22, 1, (2434), 10.1186/s12889-022-14836-9), BMC Public Health, 23.0(1). https://doi.org/10.1186/s12889-022-14963-3
Bayer J.K.; Prendergast L.A.; Brown A.; Bretherton L.; Hiscock H.; Nelson-Lowe M.; Gilbertson T.; Noone K.; Bischof N.; Beechey C.; Muliadi F.; Mihalopoulos C.; Rapee R.M. (2023). Prediction of clinical anxious and depressive problems in mid childhood amongst temperamentally inhibited preschool children: a population study, European Child and Adolescent Psychiatry, 32(2.0), 267-281. https://doi.org/10.1007/s00787-021-01857-9
2022
Bayer J.K.; Brown A.; Prendergast L.A.; Bretherton L.; Hiscock H.; Mihalopoulos C.; Nelson-Lowe M.; Gilbertson T.; Noone K.; Bischof N.; Beechey C.; Muliadi F.; Rapee R.M. (2022). Follow-up of the Cool Little Kids translational trial into middle childhood, Journal of Child Psychology and Psychiatry and Allied Disciplines, 63(1.0), 88-98. https://doi.org/10.1111/jcpp.13464
Shields N.; Bennell K.L.; Southby A.; Rice L.J.; Markovic T.; Bigby C.; Prendergast L.; Watts J.J.; Schofield C.; Loughnan G.; Franklin J.; Levitt D.; Chikani V.; McCallum Z.; Blair S.; Proietto J.; Taylor N.F. (2022). Progressive resistance training in young people with Prader-Willi syndrome: Protocol for a randomised trial (PRESTO), BMJ Open, 12(12.0). https://doi.org/10.1136/bmjopen-2021-060306
Salim A.; Molania R.; Wang J.; De Livera A.; Thijssen R.; Speed T.P. (2022). RUV-III-NB: normalization of single cell RNA-seq data, Nucleic Acids Research, 50.0(16), E96. https://doi.org/10.1093/nar/gkac486
Cairns M.; Prendergast L.A. (2022). On ratio measures of heterogeneity for meta-analyses, Research Synthesis Methods, 13(1.0), 28-47. https://doi.org/10.1002/jrsm.1517
Wright A.; De Livera A.; Lee K.H.; Higgs C.; Nicholson M.; Gibbs L.; Jorm A. (2022). A repeated cross-sectional and longitudinal study of mental health and wellbeing during COVID-19 lockdowns in Victoria, Australia, BMC Public Health, 22.0(1). https://doi.org/10.1186/s12889-022-14836-9
Shields N.; Willis C.; Imms C.; McKenzie G.; van Dorsselaer B.; Bruder A.M.; Kennedy R.A.; Bhowon Y.; Southby A.; Prendergast L.A.; Watts J.J.; Taylor N.F. (2022). Feasibility of scaling-up a community-based exercise program for young people with disability, Disability and Rehabilitation, 44(9.0), 1669-1681. https://doi.org/10.1080/09638288.2021.1903103
Shields N.; Mizzi N.; Buhlert-Smith K.; Strydom A.; Prendergast L.; Hocking D.R. (2022). A 12-week exercise programme has a positive effect on everyday executive function in young people with Down syndrome: a pilot non-randomised controlled trial, Journal of Intellectual Disability Research, 66(12.0), 924-938. https://doi.org/10.1111/jir.12979
Higgs C.; Alderton A.; Rozek J.; Adlakha D.; Badland H.; Boeing G.; Both A.; Cerin E.; Chandrabose M.; De Gruyter C.; De Livera A.; Gunn L.; Hinckson E.; Liu S.; Mavoa S.; Sallis J.F.; Simons K.; Giles-Corti B. (2022). Policy-Relevant Spatial Indicators of Urban Liveability And Sustainability: Scaling From Local to Global, Urban Policy and Research, 40.0(4), 321-334. https://doi.org/10.1080/08111146.2022.2076215
Edwards K.-A.L.; Prendergast L.A.; Kalfas S.; Sumithran P.; Proietto J. (2022). Impact of starting BMI and degree of weight loss on changes in appetite-regulating hormones during diet-induced weight loss, Obesity, 30(4.0), 911-919. https://doi.org/10.1002/oby.23404
Kuveke R.E.H.; Barwise L.; Van Ingen Y.; Vashisth K.; Roberts N.; Chitnis S.S.; Dutton J.L.; Martin C.D.; Melen R.L. (2022). An International Study Evaluating Elemental Analysis, ACS Central Science, 8(7), 855-863. https://doi.org/10.1021/acscentsci.2c00325
Taylor N.F.; Harding K.E.; Dennett A.M.; Febrey S.; Warmoth K.; Hall A.J.; Prendergast L.A.; Goodwin V.A. (2022). Behaviour change interventions to increase physical activity in hospitalised patients: A systematic review, meta-analysis and meta-regression, Age and Ageing, 51(1.0). https://doi.org/10.1093/ageing/afab154
2021
Giordano A.; Testa S.; Bassi M.; Cilia S.; Bertolotto A.; Quartuccio M.E.; Pietrolongo E.; Falautano M.; Grobberio M.; Niccolai C.; Allegri B.; Viterbo R.G.; Confalonieri P.; Giovannetti A.M.; Cocco E.; Grasso M.G.; Lugaresi A.; Ferriani E.; Nocentini U.; Zaffaroni M.; De Livera A.; Jelinek G.; Solari A.; Rosato R. (2021). Viability of a MSQOL-54 general health-related quality of life score using bifactor model, Health and Quality of Life Outcomes, 19.0(1). https://doi.org/10.1186/s12955-021-01857-y
Bavin E.L.; Sarant J.; Prendergast L.; Busby P.; Leigh G.; Peterson C. (2021). Positive parenting behaviors: Impact on the early vocabulary of infants/toddlers with cochlear implants, Journal of Speech, Language, and Hearing Research, 64(4.0), 1210-1221. https://doi.org/10.1044/2020_JSLHR-20-00401
Taylor N.F.; Peiris C.L.; Thompson A.L.; Prendergast L.A.; Harding K.E.; Hau R.; Shields N. (2021). Association between physical activity and short-term physical function changes after hip fracture: An observational study, Physiotherapy Research International, 26(1.0). https://doi.org/10.1002/pri.1876
Lambert K.A.; Markevych I.; Yang B.-Y.; Bauer C.-P.; Berdel D.; von Berg A.; Bergmann K.-C.; Lodge C.; Koletzko S.; Prendergast L.A.; Schikowski T.; Schulz H.; Werchan M.; Heinrich J.; Standl M.; Erbas B. (2021). Association of early life and acute pollen exposure with lung function and exhaled nitric oxide (FeNO). A prospective study up to adolescence in the GINIplus and LISA cohort, Science of the Total Environment, 763. https://doi.org/10.1016/j.scitotenv.2020.143006
Fidao A.; De Livera A.; Nag N.; Neate S.; Jelinek G.A.; Simpson-Yap S. (2021). Depression mediates the relationship between fatigue and mental health-related quality of life in multiple sclerosis, Multiple Sclerosis and Related Disorders, 47.0. https://doi.org/10.1016/j.msard.2020.102620
Taylor N.F.; O'Halloran P.D.; Watts J.J.; Morris R.; Peiris C.L.; Porter J.; Prendergast L.A.; Harding K.E.; Snowdon D.A.; Ekegren C.L.; Hau R.; Mudiyanselage S.B.; Rimayanti M.U.; Noeske K.E.; Snowdon M.; Kim D.; Shields N. (2021). Motivational interviewing with community-dwelling older adults after hip fracture (MIHip): Protocol for a randomised controlled trial, BMJ Open, 11(6.0). https://doi.org/10.1136/bmjopen-2020-047970
Goller J.L.; De Livera A.M.; Donovan B.; Fairley C.K.; Low N.; Hocking J.S. (2021). Epididymitis rates in Australian hospitals 2009-2018: Ecological analysis, Sexually Transmitted Infections, 97.0(5), 387-390. https://doi.org/10.1136/sextrans-2020-054473
Price S.A.L.; Sumithran P.; Nankervis A.J.; Permezel M.; Prendergast L.A.; Proietto J. (2021). Impact of preconception weight loss on fasting glucose and pregnancy outcomes in women with obesity: A randomized trial, Obesity, 29(9.0), 1445-1457. https://doi.org/10.1002/oby.23200
Weiland T.J.; Nag N.; De Livera A.; Jelinek G.A.; Neate S.L.; Bevens W.; Simpson-Yap S. (2021). Two healthy lifestyle scores are associated with lower subsequent fatigue risk using inverse probability weighting in an international longitudinal cohort of people with multiple sclerosis, European Journal of Neurology, 28.0(9), 2952-2964. https://doi.org/10.1111/ene.14956
Bayer J.K.; Prendergast L.A.; Brown A.; Harris L.; Bretherton L.; Hiscock H.; Beatson R.; Mihalopoulos C.; Rapee R.M. (2021). Cool Little Kids translational trial to prevent internalising: two-year outcomes and prediction of parent engagement, Child and Adolescent Mental Health, 26(3.0), 211-219. https://doi.org/10.1111/camh.12420
Shields N.; Stukas A.A.; Buhlert-Smith K.; Prendergast L.A.; Taylor N.F. (2021). Changing student health professionals’ attitudes toward disability: A longitudinal study, Physiotherapy Canada, 73(2.0), 180-187. https://doi.org/10.3138/ptc-2019-0069
2020
Price S.A.; Sumithran P.; Prendergast L.A.; Nankervis A.J.; Permezel M.; Proietto J. (2020). Time to pregnancy after a prepregnancy very-low-energy diet program in women with obesity: substudy of a randomized controlled trial, Fertility and Sterility, 114(6.0), 1256-1262. https://doi.org/10.1016/j.fertnstert.2020.06.033
Sarapis K.; Thomas C.J.; Hoskin J.; George E.S.; Marx W.; Mayr H.L.; Kennedy G.; Pipingas A.; Willcox J.C.; Prendergast L.A.; Itsiopoulos C.; Moschonis G. (2020). The effect of high polyphenol extra virgin olive oil on blood pressure and arterial stiffness in healthy australian adults: A randomized, controlled, cross-over study, Nutrients, 12(8.0), 1-17. https://doi.org/10.3390/nu12082272
De Livera A.M.; Reutens A.; Cooper M.; Thomas M.; Jandeleit-Dahm K.; Shaw J.E.; Salim A. (2020). Evaluating the efficacy and safety of GKT137831 in adults with type 1 diabetes and persistently elevated urinary albumin excretion: A statistical analysis plan, Trials, 21.0(1). https://doi.org/10.1186/s13063-020-04404-0
Dean E.; Haywood C.; Hunter P.; Austin N.; Prendergast L. (2020). Body image in older, inpatient women and the relationship to BMI, anxiety, depression, and other sociodemographic factors, International Journal of Geriatric Psychiatry, 35(2.0), 182-187. https://doi.org/10.1002/gps.5233
Lappas M.; Lim R.; Price S.; Prendergast L.A.; Proietto J.; Ekinci E.I.; Sumithran P. (2020). Exploring the relationship between maternal circulating hormones and gestational weight gain in women without obesity: A cross-sectional study, International Journal of Women's Health, 12, 455-462. https://doi.org/10.2147/IJWH.S241785
Shields N.; Willis C.; Imms C.; Prendergast L.A.; Watts J.J.; Van Dorsselaer B.; McKenzie G.; Bruder A.M.; Taylor N.F. (2020). FitSkills: Protocol for a stepped wedge cluster randomised trial of a community-based exercise programme to increase participation among young people with disability, BMJ Open, 10(7.0). https://doi.org/10.1136/bmjopen-2020-037153
Lambert K.A.; Katelaris C.; Burton P.; Cowie C.; Lodge C.; Garden F.L.; Prendergast L.A.; Toelle B.G.; Erbas B. (2020). Tree pollen exposure is associated with reduced lung function in children, Clinical and Experimental Allergy, 50(10.0), 1176-1183. https://doi.org/10.1111/cea.13711
Marx W.; George E.S.; Mayr H.L.; Thomas C.J.; Sarapis K.; Moschonis G.; Kennedy G.; Pipingas A.; Willcox J.C.; Prendergast L.A.; Itsiopoulos C. (2020). Effect of high polyphenol extra virgin olive oil on markers of cardiovascular disease risk in healthy Australian adults (OLIVAUS): A protocol for a double-blind randomised, controlled, cross-over study, Nutrition and Dietetics, 77(5.0), 523-528. https://doi.org/10.1111/1747-0080.12531
O'Kearney E.L.; Brown C.R.; Jelinek G.A.; Neate S.L.; Taylor K.T.; Bevens W.; De Livera A.M.; Simpson, S., Jr.; Weiland T.J. (2020). Mastery is associated with greater physical and mental health-related quality of life in two international cohorts of people with multiple sclerosis, Multiple Sclerosis and Related Disorders, 38.0. https://doi.org/10.1016/j.msard.2019.101481
Giordano A.; Testa S.; Bassi M.; Cilia S.; Bertolotto A.; Quartuccio M.E.; Pietrolongo E.; Falautano M.; Grobberio M.; Niccolai C.; Allegri B.; Viterbo R.G.; Confalonieri P.; Giovannetti A.M.; Cocco E.; Grasso M.G.; Lugaresi A.; Ferriani E.; Nocentini U.; Zaffaroni M.; De Livera A.; Jelinek G.; Solari A.; Rosato R. (2020). Assessing measurement invariance of MSQOL-54 across Italian and English versions, Quality of Life Research, 29.0(3), 783-791. https://doi.org/10.1007/s11136-019-02352-0
O’Donnell J.M.; Jelinek G.A.; Gray K.M.; De Livera A.; Brown C.R.; Neate S.L.; O’Kearney E.L.; Taylor K.L.; Bevens W.; Weiland T.J. (2020). Therapeutic utilization of meditation resources by people with multiple sclerosis: insights from an online patient discussion forum, Informatics for Health and Social Care, 45.0(4), 374-384. https://doi.org/10.1080/17538157.2020.1755975
Reutens A.T.; Jandeleit-Dahm K.; Thomas M.; Salim A.; De Livera A.M.; Bach L.A.; Colman P.G.; Davis T.M.E.; Ekinci E.I.; Fulcher G.; Hamblin P.S.; Kotowicz M.A.; MacIsaac R.J.; Morbey C.; Simmons D.; Soldatos G.; Wittert G.; Wu T.; Cooper M.E.; Shaw J.E. (2020). A physician-initiated double-blind, randomised, placebo-controlled, phase 2 study evaluating the efficacy and safety of inhibition of NADPH oxidase with the first-in-class Nox-1/4 inhibitor, GKT137831, in adults with type 1 diabetes and persistently elevated urinary albumin excretion: Protocol and statistical considerations, Contemporary Clinical Trials, 90.0. https://doi.org/10.1016/j.cct.2019.105892
Campbell J.A.; Jelinek G.A.; Weiland T.J.; Nag N.; Neate S.L.; Palmer A.J.; Mulhern B.; De Livera A.; Simpson-Yap S. (2020). SF-6D health state utilities for lifestyle, sociodemographic and clinical characteristics of a large international cohort of people with multiple sclerosis, Quality of Life Research, 29.0(9), 2509-2527. https://doi.org/10.1007/s11136-020-02505-6
Porter L.; Shoushtarizadeh A.; Jelinek G.A.; Brown C.R.; Lim C.K.; de Livera A.M.; Jacobs K.R.; Weiland T.J. (2020). Metabolomic Biomarkers of Multiple Sclerosis: A Systematic Review, Frontiers in Molecular Biosciences, 7.0. https://doi.org/10.3389/fmolb.2020.574133
Harding K.E.; Snowdon D.A.; Prendergast L.; Lewis A.K.; Kent B.; Leggat S.F.; Taylor N.F. (2020). Sustainable waiting time reductions after introducing the STAT model for access and triage: 12-month follow up of a stepped wedge cluster randomised controlled trial, BMC Health Services Research, 20(1.0). https://doi.org/10.1186/s12913-020-05824-z
Wu J.; Jelinek G.A.; Weiland T.; Hedström A.K.; Alfredsson L.; Neate S.; De Livera A.; Nag N.; Simpson-Yap S. (2020). Perceived cognitive impairment is associated with sexual dysfunction in people with multiple sclerosis: A 2.5-year follow-up study of a large international cohort, Multiple Sclerosis and Related Disorders, 45.0. https://doi.org/10.1016/j.msard.2020.102410
2019 and earlier
Simpson S., Jr.; Taylor K.L.; Jelinek G.A.; De Livera A.M.; Brown C.R.; O'Kearney E.; Neate S.L.; Bevens W.; Weiland T.J. (2019). Associations of demographic and clinical factors with depression over 2.5-years in an international prospective cohort of people living with MS, Multiple Sclerosis and Related Disorders, 30.0, 165-175. https://doi.org/10.1016/j.msard.2019.02.014
Haywood C.J.; Prendergast L.A.; Lim R.; Lappas M.; Lim W.K.; Proietto J. (2019). Obesity in older adults: Effect of degree of weight loss on cardiovascular markers and medications, Clinical Obesity, 9(4.0). https://doi.org/10.1111/cob.12316
Lambert K.A.; Lodge C.; Lowe A.J.; Prendergast L.A.; Thomas P.S.; Bennett C.M.; Abramson M.J.; Dharmage S.C.; Erbas B. (2019). Pollen exposure at birth and adolescent lung function, and modification by residential greenness, Allergy: European Journal of Allergy and Clinical Immunology, 74(10.0), 1977-1984. https://doi.org/10.1111/all.13803
Neate S.L.; Taylor K.L.; Jelinek G.A.; De Livera A.M.; Simpson, S., Jr.; Bevens W.; Weiland T.J. (2019). On the path together: Experiences of partners of people with multiple sclerosis of the impact of lifestyle modification on their relationship, Health and Social Care in the Community, 27.0(6), 1515-1524. https://doi.org/10.1111/hsc.12822
Shields N.; van den Bos R.; Buhlert-Smith K.; Prendergast L.; Taylor N. (2019). A community-based exercise program to increase participation in physical activities among youth with disability: a feasibility study, Disability and Rehabilitation, 41(10.0), 1152-1159. https://doi.org/10.1080/09638288.2017.1422034
Phyo A.Z.Z.; Jelinek G.A.; Brown C.R.; O'Kearney E.; Neate S.L.; De Livera A.M.; Taylor K.L.; Bevens W.; Simpson S., Jr.; Weiland T.J. (2019). Differential multiple sclerosis treatment allocation between Australia and New Zealand associated with clinical outcomes but not mood or quality of life, Multiple Sclerosis and Related Disorders, 30.0, 25-32. https://doi.org/10.1016/j.msard.2019.01.037
van Namen M.; Prendergast L.; Peiris C. (2019). Supervised lifestyle intervention for people with metabolic syndrome improves outcomes and reduces individual risk factors of metabolic syndrome: A systematic review and meta-analysis, Metabolism: Clinical and Experimental, 101. https://doi.org/10.1016/j.metabol.2019.153988
Weiland T.J.; De Livera A.M.; Brown C.R.; Jelinek G.A.; Aitken Z.; Simpson S.L., Jr.; Neate S.L.; Taylor K.L.; O’kearney E.; Bevens W.; Marck C.H. (2019). Health outcomes and lifestyle in a sample of people with multiple sclerosis (HOLISM): Longitudinal and validation cohorts, Frontiers in Neurology, 9.0. https://doi.org/10.3389/fneur.2018.01074
Jelinek P.L.; Simpson S., Jr.; Brown C.R.; Jelinek G.A.; Marck C.H.; De Livera A.M.; O'Kearney E.; Taylor K.L.; Neate S.L.; Weiland T.J. (2019). Self-reported cognitive function in a large international cohort of people with multiple sclerosis: associations with lifestyle and other factors, European Journal of Neurology, 26.0(1), 142-154. https://doi.org/10.1111/ene.13784
Baker E.K.; Richdale A.L.; Hazi A.; Prendergast L.A. (2019). Assessing a hyperarousal hypothesis of insomnia in adults with autism spectrum disorder, Autism Research, 12(6.0), 897-910. https://doi.org/10.1002/aur.2094
Goller J.L.; Fairley C.K.; De Livera A.M.; Chen M.Y.; Bradshaw C.S.; Chow E.P.F.; Guy R.; Hocking J.S. (2019). Trends in diagnosis of pelvic inflammatory disease in an Australian sexual health clinic, 2002-16: Before and after clinical audit feedback, Sexual Health, 16.0(3), 247-253. https://doi.org/10.1071/SH18119
Taylor K.L.; Simpson S., Jr.; Jelinek G.A.; Neate S.L.; De Livera A.M.; Brown C.R.; O’kearney E.; Marck C.H.; Weiland T.J. (2019). Longitudinal associations of modifiable lifestyle factors with positive depression-screen over 2.5-years in an international cohort of people living with multiple sclerosis, Frontiers in Psychiatry, 9.0. https://doi.org/10.3389/fpsyt.2018.00526
Bayer J.K.; Morgan A.; Prendergast L.A.; Beatson R.; Gilbertson T.; Bretherton L.; Hiscock H.; Rapee R.M. (2019). Predicting Temperamentally Inhibited Young Children’s Clinical-Level Anxiety and Internalizing Problems from Parenting and Parent Wellbeing: a Population Study, Journal of Abnormal Child Psychology, 47(7.0), 1165-1181. https://doi.org/10.1007/s10802-018-0442-6
Demaneuf T.; Aitken Z.; Karahalios A.; Leong T.I.; De Livera A.M.; Jelinek G.A.; Weiland T.J.; Marck C.H. (2019). Effectiveness of Exercise Interventions for Pain Reduction in People With Multiple Sclerosis: A Systematic Review and Meta-analysis of Randomized Controlled Trials, Archives of Physical Medicine and Rehabilitation, 100.0(1), 128-139. https://doi.org/10.1016/j.apmr.2018.08.178
Marck C.H.; De Livera A.M.; Brown C.R.; Neate S.L.; Taylor K.L.; Weiland T.J.; Hadgkiss E.J.; Jelinek G.A. (2018). Health outcomes and adherence to a healthy lifestyle after a multimodal intervention in people with multiple sclerosis: Three year follow-up, PLoS ONE, 13.0(5). https://doi.org/10.1371/journal.pone.0197759
Staudte R.G.; Xia A. (2018). Divergence from, and convergence to, uniformity of probability density quantiles, Entropy, 20.0(5). https://doi.org/10.3390/e20050317
Harding K.E.; Leggat S.G.; Watts J.J.; Kent B.; Prendergast L.; Kotis M.; O'Reilly M.; Karimi L.; Lewis A.K.; Snowdon D.A.; Taylor N.F. (2018). A model of access combining triage with initial management reduced waiting time for community outpatient services: A stepped wedge cluster randomised controlled trial, BMC Medicine, 16(1.0). https://doi.org/10.1186/s12916-018-1170-z
Erbas B.; Jazayeri M.; Lambert K.A.; Katelaris C.H.; Prendergast L.A.; Tham R.; Parrodi M.J.; Davies J.; Newbigin E.; Abramson M.J.; Dharmage S.C. (2018). Outdoor pollen is a trigger of child and adolescent asthma emergency department presentations: A systematic review and meta-analysis, Allergy: European Journal of Allergy and Clinical Immunology, 73(8.0), 1632-1641. https://doi.org/10.1111/all.13407
Bayer J.K.; Beatson R.; Bretherton L.; Hiscock H.; Wake M.; Gilbertson T.; Mihalopoulos C.; Prendergast L.A.; Rapee R.M. (2018). Translational delivery of Cool Little Kids to prevent child internalising problems: Randomised controlled trial, Australian and New Zealand Journal of Psychiatry, 52(2.0), 181-191. https://doi.org/10.1177/0004867417726582
Neate S.L.; Taylor K.L.; Jelinek G.A.; De Livera A.M.; Brown C.R.; Weiland T.J. (2018). Psychological shift in partners of people with multiple sclerosis who undertake lifestyle modification: An interpretive phenomenological study, Frontiers in Psychology, 9.0(JAN). https://doi.org/10.3389/fpsyg.2018.00015
Price S.; Nankervis A.; Permezel M.; Prendergast L.; Sumithran P.; Proietto J. (2018). Health consequences for mother and baby of substantial pre-conception weight loss in obese women: Study protocol for a randomized controlled trial, Trials, 19(1.0). https://doi.org/10.1186/s13063-018-2615-6
Phyo A.Z.Z.; Demaneuf T.; De Livera A.M.; Jelinek G.A.; Brown C.R.; Marck C.H.; Neate S.L.; Taylor K.L.; Mills T.; O'Kearney E.; Karahalios A.; Weiland T.J. (2018). The efficacy of psychological interventions for managing fatigue in people with multiple sclerosis: A systematic review and meta-analysis, Frontiers in Neurology, 9.0(APR). https://doi.org/10.3389/fneur.2018.00149
Haywood C.J.; Prendergast L.A.; Purcell K.; Le Fevre L.; Lim W.K.; Galea M.; Proietto J. (2018). Very Low Calorie Diets for Weight Loss in Obese Older Adults-A Randomized Trial, Journals of Gerontology - Series A Biological Sciences and Medical Sciences, 73(1.0), 59-65. https://doi.org/10.1093/gerona/glx012
Sumithran P.; Purcell K.; Kuyruk S.; Proietto J.; Prendergast L.A. (2018). Combining biological and psychosocial baseline variables did not improve prediction of outcome of a very-low-energy diet in a clinic referral population, Clinical Obesity, 8(1.0), 30-38. https://doi.org/10.1111/cob.12229
Dennett A.M.; Peiris C.L.; Shields N.; Prendergast L.A.; Taylor N.F. (2018). Cancer survivors awaiting rehabilitation rarely meet recommended physical activity levels: An observational study, Rehabilitation Oncology, 36(4.0), 214-222. https://doi.org/10.1097/01.REO.0000000000000132
Dennett A.M.; Shields N.; Peiris C.L.; Prendergast L.A.; O'Halloran P.D.; Parente P.; Taylor N.F. (2018). Motivational interviewing added to oncology rehabilitation did not improve moderate-intensity physical activity in cancer survivors: a randomised trial, Journal of Physiotherapy, 64(4.0), 255-263. https://doi.org/10.1016/j.jphys.2018.08.003
Lambert K.A.; Bowatte G.; Tham R.; Lodge C.J.; Prendergast L.A.; Heinrich J.; Abramson M.J.; Dharmage S.C.; Erbas B. (2018). Greenspace and atopic sensitization in children and adolescents—a systematic review, International Journal of Environmental Research and Public Health, 15(11.0). https://doi.org/10.3390/ijerph15112539
Leong T.I.; Weiland T.J.; Jelinek G.A.; Simpson S.; Brown C.R.; Neate S.L.; Taylor K.L.; O'Kearney E.; Milanzi E.; De Livera A.M. (2018). Longitudinal associations of the healthy lifestyle index score with quality of life in people with multiple sclerosis: A prospective cohort study, Frontiers in Neurology, 9.0(NOV). https://doi.org/10.3389/fneur.2018.00874
Bavin E.L.; Sarant J.; Leigh G.; Prendergast L.; Busby P.; Peterson C. (2018). Children with cochlear implants in infancy: predictors of early vocabulary, International Journal of Language and Communication Disorders, 53(4.0), 788-798. https://doi.org/10.1111/1460-6984.12383
Goller J.L.; De Livera A.M.; Guy R.J.; Low N.; Donovan B.; Law M.; Kaldor J.M.; Fairley C.K.; Hocking J.S. (2018). Rates of pelvic inflammatory disease and ectopic pregnancy in Australia, 2009-2014: Ecological analysis of hospital data, Sexually Transmitted Infections, 94.0(7), 534-541. https://doi.org/10.1136/sextrans-2017-053423
Lambert K.A.; Prendergast L.A.; Dharmage S.C.; Tang M.; O'Sullivan M.; Tran T.; Druce J.; Bardin P.; Abramson M.J.; Erbas B. (2018). The role of human rhinovirus (HRV) species on asthma exacerbation severity in children and adolescents, Journal of Asthma, 55(6.0), 596-602. https://doi.org/10.1080/02770903.2017.1362425
McCloskey K.; De Livera A.M.; Collier F.; Ponsonby A.-L.; Carlin J.B.; Vuillermin P.; Mellett N.A.; Jayawardana K.; Weir J.M.; Blangero J.; Curran J.E.; Burgner D.; Meikle P.J. (2018). Gestational Age and the Cord Blood Lipidomic Profile in Late Preterm and Term Infants, Neonatology, 114.0(3), 215-222. https://doi.org/10.1159/000487506
Reilly G.D.; Mahkawnghta A.S.; Jelinek P.L.; de Livera A.M.; Weiland T.J.; Brown C.R.; Taylor K.L.; Neate S.L.; Jelinek G.A.; Marck C.H. (2017). International differences in multiple sclerosis health outcomes and associated factors in a cross-sectional survey, Frontiers in Neurology, 8.0(MAY). https://doi.org/10.3389/fneur.2017.00229
Taylor C.J. (2017). Expansions of Dually Pseudocomplemented Heyting Algebras, Studia Logica, 105.0(4), 817-841. https://doi.org/10.1007/s11225-017-9712-5
Lambert K.A.; Bowatte G.; Tham R.; Lodge C.; Prendergast L.; Heinrich J.; Abramson M.J.; Dharmage S.C.; Erbas B. (2017). Residential greenness and allergic respiratory diseases in children and adolescents – A systematic review and meta-analysis, Environmental Research, 159, 212-221. https://doi.org/10.1016/j.envres.2017.08.002
Baker E.K.; Richdale A.L.; Hazi A.; Prendergast L.A. (2017). Assessing the Dim Light Melatonin Onset in Adults with Autism Spectrum Disorder and No Comorbid Intellectual Disability, Journal of Autism and Developmental Disorders, 47(7.0), 2120-2137. https://doi.org/10.1007/s10803-017-3122-4
Marck C.H.; de Livera A.M.; Weiland T.J.; Jelinek P.L.; Neate S.L.; Brown C.R.; Taylor K.L.; Khan F.; Jelinek G.A. (2017). Pain in people with multiple sclerosis: Associations with modifiable lifestyle factors, fatigue, depression, anxiety, and mental health quality of life, Frontiers in Neurology, 8.0(SEP). https://doi.org/10.3389/fneur.2017.00461
Ng Tang Fui M.; Hoermann R.; Prendergast L.A.; Zajac J.D.; Grossmann M. (2017). Symptomatic response to testosterone treatment in dieting obese men with low testosterone levels in a randomized, placebo-controlled clinical trial, International Journal of Obesity, 41(3.0), 420-426. https://doi.org/10.1038/ijo.2016.242
Goller J.L.; De Livera A.M.; Fairley C.K.; Guy R.J.; Bradshaw C.S.; Chen M.Y.; Hocking J.S. (2017). Characteristics of pelvic inflammatory disease where no sexually transmitted infection is identified: A cross-sectional analysis of routinely collected sexual health clinic data, Sexually Transmitted Infections, 93.0(1), 68-70. https://doi.org/10.1136/sextrans-2016-052553
Bavin E.L.; Kidd E.; Prendergast L.A.; Baker E.K. (2016). Young children with ASD use lexical and referential information during on-line sentence processing, Frontiers in Psychology, 7. https://doi.org/10.3389/fpsyg.2016.00171
Sumithran P.; Prendergast L.A.; Haywood C.J.; Houlihan C.A.; Proietto J. (2016). Review of 3-year outcomes of a very-low-energy diet-based outpatient obesity treatment programme, Clinical Obesity, 6(2.0), 101-107. https://doi.org/10.1111/cob.12135
Ng Tang Fui M.; Prendergast L.A.; Dupuis P.; Raval M.; Strauss B.J.; Zajac J.D.; Grossmann M. (2016). Effects of testosterone treatment on body fat and lean mass in obese men on a hypocaloric diet: A randomised controlled trial, BMC Medicine, 14(1.0). https://doi.org/10.1186/s12916-016-0700-9
Marck C.H.; Jelinek P.L.; Weiland T.J.; Hocking J.S.; De Livera A.M.; Taylor K.L.; Neate S.L.; Pereira N.G.; Jelinek G.A. (2016). Sexual function in multiple sclerosis and associations with demographic, disease and lifestyle characteristics: An international cross-sectional study, BMC Neurology, 16.0(1). https://doi.org/10.1186/s12883-016-0735-8
Goller J.L.; De Livera A.M.; Fairley C.K.; Guy R.J.; Bradshaw C.S.; Chen M.Y.; Simpson J.A.; Hocking J.S. (2016). Population attributable fraction of pelvic inflammatory disease associated with chlamydia and gonorrhoea: A cross-sectional analysis of Australian sexual health clinic data, Sexually Transmitted Infections, 92.0(7), 525-531. https://doi.org/10.1136/sextrans-2015-052195
Bavin E.L.; Prendergast L.A.; Kidd E.; Baker E.; Dissanayake C. (2016). Online processing of sentences containing noun modification in young children with high-functioning autism, International Journal of Language and Communication Disorders, 51(2.0), 137-147. https://doi.org/10.1111/1460-6984.12191
Waidyatillake N.T.; Simpson J.A.; Allen K.J.; Lodge C.J.; Dharmage S.C.; Abramson M.J.; De Livera A.M.; Matheson M.C.; Erbas B.; Hill D.J.; Lowe A.J. (2016). The effect of breastfeeding on lung function at 12 and 18 years: A prospective cohort study, European Respiratory Journal, 48.0(1), 125-132. https://doi.org/10.1183/13993003.01598-2015
Abraham G.; Havulinna A.S.; Bhalala O.G.; Byars S.G.; De Livera A.M.; Yetukuri L.; Tikkanen E.; Perola M.; Schunkert H.; Sijbrands E.J.; Palotie A.; Samani N.J.; Salomaa V.; Ripatti S.; Inouye M. (2016). Genomic prediction of coronary heart disease, European Heart Journal, 37.0(43), 3267-3278. https://doi.org/10.1093/eurheartj/ehw450
Jelinek G.A.; De Livera A.M.; Marck C.H.; Brown C.R.; Neate S.L.; Taylor K.L.; Weiland T.J. (2016). Associations of lifestyle, medication, and socio-demographic factors with disability in people with multiple sclerosis: An international cross-sectional study, PLoS ONE, 11.0(8). https://doi.org/10.1371/journal.pone.0161701
Gussy M.; Ashbolt R.; Carpenter L.; Virgo-Milton M.; Calache H.; Dashper S.; Leong P.; de Silva A.; de Livera A.; Simpson J.; Waters E. (2016). Natural history of dental caries in very young Australian children, International Journal of Paediatric Dentistry, 26.0(3), 173-183. https://doi.org/10.1111/ipd.12169
Dennett A.M.; Peiris C.L.; Shields N.; Prendergast L.A.; Taylor N.F. (2016). Moderate-intensity exercise reduces fatigue and improves mobility in cancer survivors: A systematic review and meta-regression, Journal of Physiotherapy, 62(2.0), 68-82. https://doi.org/10.1016/j.jphys.2016.02.012
Jelinek G.A.; De Livera A.M.; Marck C.H.; Brown C.R.; Neate S.L.; Taylor K.L.; Weiland T.J. (2016). Lifestyle, medication and socio-demographic determinants of mental and physical health-related quality of life in people with multiple sclerosis, BMC Neurology, 16.0(1). https://doi.org/10.1186/s12883-016-0763-4
Hanieh S.; Ha T.T.; De Livera A.M.; Simpson J.A.; Thuy T.T.; Khuong N.C.; Thoang D.D.; Tran T.D.; Tuan T.; Fisher J.; Biggs B.-A. (2015). Antenatal and early infant predictors of postnatal growth in rural Vietnam: A prospective cohort study, Archives of Disease in Childhood, 100.0(2), 165-173. https://doi.org/10.1136/archdischild-2014-306328
Rijken M.J.; De Livera A.M.; Lee S.J.; Boel M.E.; Rungwilailaekhiri S.; Wiladphaingern J.; Paw M.K.; Pimanpanarak M.; Pukrittayakamee S.; Simpson J.A.; Nosten F.; McGready R. (2014). Quantifying low birth weight, preterm birth and small-for- Gestational-age effects of malaria in pregnancy: A population cohort study, PLoS ONE, 9.0(7). https://doi.org/10.1371/journal.pone.0100247
Bavin E.L.; Kidd E.; Prendergast L.; Baker E.; Dissanayake C.; Prior M. (2014). Severity of Autism is Related to Children's Language Processing, Autism Research, 7(6.0), 687-694. https://doi.org/10.1002/aur.1410
Purcell K.; Sumithran P.; Prendergast L.A.; Bouniu C.J.; Delbridge E.; Proietto J. (2014). The effect of rate of weight loss on long-term weight management: A randomised controlled trial, The Lancet Diabetes and Endocrinology, 2(12.0), 954-962. https://doi.org/10.1016/S2213-8587(14)70200-1
Sumithran P.; Prendergast L.A.; Delbridge E.; Purcell K.; Shulkes A.; Kriketos A.; Proietto J. (2013). Ketosis and appetite-mediating nutrients and hormones after weight loss, European Journal of Clinical Nutrition, 67(7.0), 759-764. https://doi.org/10.1038/ejcn.2013.90
Baker S.T.; Strauss B.J.; Prendergast L.A.; Panagiotopoulos S.; Thomas G.E.; Vu T.; Proietto J.; Jerums G. (2012). Estimating dual-energy X-ray absorptiometry-derived total body skeletal muscle mass using single-slice abdominal magnetic resonance imaging in obese subjects with and without diabetes: A pilot study, European Journal of Clinical Nutrition, 66(5.0), 628-632. https://doi.org/10.1038/ejcn.2012.3
Callahan D.L.; Roessner U.; Dumontet V.; De Livera A.M.; Doronila A.; Baker A.J.M.; Kolev S.D. (2012). Elemental and metabolite profiling of nickel hyperaccumulators from New Caledonia, Phytochemistry, 81.0, 80-89. https://doi.org/10.1016/j.phytochem.2012.06.010
Baker S.T.; Jerums G.; Prendergast L.A.; Panagiotopoulos S.; Strauss B.J.; Proietto J. (2012). Less fat reduction per unit weight loss in type 2 diabetic compared with nondiabetic obese individuals completing a very-low-calorie diet program, Metabolism: Clinical and Experimental, 61(6.0), 873-882. https://doi.org/10.1016/j.metabol.2011.10.017
Sumithran P.; Prendergast L.A.; Delbridge E.; Purcell K.; Shulkes A.; Kriketos A.; Proietto J. (2011). Long-term persistence of hormonal adaptations to weight loss, New England Journal of Medicine, 365(17.0), 1597-1604. https://doi.org/10.1056/NEJMoa1105816
Delbridge E.A.; Prendergast L.A.; Pritchard J.E.; Proietto J. (2009). One-year weight maintenance after significant weight loss in healthy overweight and obese subjects: Does diet composition matter?, American Journal of Clinical Nutrition, 90(5.0), 1203-1214. https://doi.org/10.3945/ajcn.2008.27209